課程資訊
課程名稱
影像處理原理及應用
Principles and Applications of Digital Image Processing 
開課學期
111-1 
授課對象
生物資源暨農學院  生物產業機電工程學研究所  
授課教師
林達德 
課號
BME7408 
課程識別碼
631 M8210 
班次
 
學分
3.0 
全/半年
半年 
必/選修
選修 
上課時間
星期三7,8,9(14:20~17:20) 
上課地點
知武會議室 
備註
人工智慧領域核心課程
總人數上限:50人 
 
課程簡介影片
 
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課程概述

This course introduces fundamental principles and applications of digital image processing. It emphasizes on the theory and algorithms as well as practical programming skills underlying a range of topics as follows.
1. Image acquisition and fundamentals
2. Image filtering and enhancement
3. Image restoration and reconstruciton
4. Color image processing
5. Wavelets and other image transforms
6. Image compression
7. Morphological processing
8. Image segmentation
9. Feature description and extraction
10. Image pattern classification 

課程目標
To introduce concepts of image processing and basic analytical methods and algorithms used in image processing. To equip students with necessary programming skills for practical applications of image processing. 
課程要求
Engineering Mathematics 
預期每週課後學習時數
 
Office Hours
每週四 14:00~17:00
每週二 09:30~12:30 備註: 每週星期二上午時段:陳璟寬助教,生機系知武館405室 每週星期四下午時段:汪軍諺助教,生機系知武館405室 
指定閱讀
 
參考書目
1. Pratt, W. K. 2013. “Introduction to Digital Image Processing”, CRC Press.
2. Sonka, M., V. Hlavac, and R. Boyle. 2014. “Image Processing, Analysis, and Machine Vision”, 4th Ed., Cengage Learning. 
評量方式
(僅供參考)
   
針對學生困難提供學生調整方式
 
上課形式
提供學生彈性出席課程方式
作業繳交方式
延長作業繳交期限
考試形式
其他
課程進度
週次
日期
單元主題
Week 1
  Introduction 
Week 2
  Digital Image Fundamentals 
Week 3
  Intensity Transformation and Spatial Filtering (I) 
Week 4
  Intensity Transformation and Spatial Filtering (II) 
Week 5
  Filtering in the Frequency Domain 
Week 6
  Image Restoration and Reconstruction 
Week 7
  Color Image Processing 
Week 8
  Mid-Term Exam 
Week 9
  Wavelets and Multiresolution Processing (I) 
Week 10
  Wavelets and Multiresolution Processing (II) 
Week 11
  Image Compression (I) 
Week 12
  Image Compression (II) 
Week 13
  Morphological Image Processing 
Week 14
  Image Segmentation 
Week 15
  Representation and Description 
Week 16
  Final Exam